2024
From Coarse to Fine: Efficient Training for Audio Spectrogram Transformers
ICASSP 2024accepted
Transformers have become central to recent advances in audio classification. However, training an audio spectrogram transformer, e.g. AST, from scratch can be resource and time-intensive. Furthermore, the complexity of transformers heavily depends on the input audio spectrogram size. In this work, w…